Ascentra Labs secures $2 million to empower consultants to utilize AI, replacing long hours of Excel work.

Ascentra Labs secures  million to empower consultants to utilize AI, replacing long hours of Excel work.

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Revolutionizing Consulting with AI: A New Player in the Market

In an era where artificial intelligence is reshaping industries, a London startup called Ascentra Labs is set to disrupt the $250 billion global consulting market. Recently closing a $2 million seed funding round, Ascentra aims to automate tedious Excel-based survey analysis, a task that has long remained untouched by automation in even the top consulting firms.

Key Details

  • Who: Ascentra Labs, co-founded by former McKinsey consultants.
  • What: An AI-driven platform that automates survey data analysis for private equity due diligence.
  • When: Recently secured funding to intensify efforts in 2024.
  • Where: Focused on the U.S. market, where over 80% of their customers already reside.
  • Why: To solve the inefficiencies faced by consultants who still rely heavily on Excel for survey analysis.
  • How: The platform ingests raw data and produces formatted Excel workbooks with traceable formulas, ensuring reliability and accuracy.

Deeper Context

Despite the burgeoning adoption of AI in fields like law, the consulting sector has lagged due to structural barriers and the complexity of workflows that span various formats like Excel, PowerPoint, and Word documents. Ascentra’s strategy zeroes in on the specific realm of survey analysis, an area largely untouched even by major firms.

This tailored approach allows Ascentra to tackle "repeatable workflows," making it easier to gain client traction in a market where broadly-focused AI solutions often falter. The company claims early adopters have reported time savings of up to 80%, underscoring the operational efficiencies they aim to achieve.

Challenges Addressed

Ascentra addresses critical pain points within consulting, primarily by:

  • Reducing Manual Efforts: Automating the labor-intensive survey data analysis process to enhance consultant productivity.
  • Ensuring Accuracy: Utilizing deterministic Python scripts post-AI data interpretation to eliminate potential errors that could lead to costly financial decisions.

Takeaway for IT Teams

IT professionals should consider evaluating how specific AI solutions can automate and optimize unique workflows within their organizations. Monitoring developments like Ascentra’s can provide valuable insights on integrating AI into operational frameworks, particularly in data-intensive fields.


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Meena Kande

meenakande

Hey there! I’m a proud mom to a wonderful son, a coffee enthusiast ☕, and a cheerful techie who loves turning complex ideas into practical solutions. With 14 years in IT infrastructure, I specialize in VMware, Veeam, Cohesity, NetApp, VAST Data, Dell EMC, Linux, and Windows. I’m also passionate about automation using Ansible, Bash, and PowerShell. At Trendinfra, I write about the infrastructure behind AI — exploring what it really takes to support modern AI use cases. I believe in keeping things simple, useful, and just a little fun along the way

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